Using 'Mlxtend' with 'TensorFlow' or 'Pytorch'

Question

Is it possible to create a simple stacking implementation for regression with 'Mlxtend' using models created by 'TensorFlow' or 'Pytorch' however the documentation only supports examples that contain 'scikit-learn'? Thanks

Answer 1

I don't think mlextend allows stacking of multiple neural network models however this log describe a process by which you can stack such models . hope this helps

• https://machinelearningmastery.com/stacking-ensemble-for-deep-learning-neural-networks/